This theme focuses on crafting a comprehensive and efficient data strategy that bolsters business intelligence and guides decision-making. Join big data experts to discuss:

• Management of data
• Decision science
• Using data to drive business outcomes
• Defining the best models and processes

Customers are the focal point of this theme, spotlighting the interplay between data privacy, protection, and personalisation.

Conversations will revolve around how customer data analytics can enhance experiences, build relationships, and nurture brand loyalty.

• Customer data privacy and protection
• Customer data analytics
• Machine learning for enhanced customer experience

Explore the evolutions and transformative potential of AI, advanced analytics, and robotics.

This theme navigates the vast capabilities of AI, from machine learning and data mining to the rising trends of augmented analytics, graph analysis, and explainable AI.

Join innovative thinkers to address topics, including:

• Machine learning
• AI
• Data mining
• Graph analysis
• AI ethics
• Tools for predictions
• Recommendations
• Deeper insights

This theme critically examines the intersection of ethics, data governance, and compliance, including important regulations like GDPR.

It offers an in-depth look into the importance of privacy in an increasingly data-driven world, and how emergent trends like federated learning and privacy-enhancing technologies can contribute to secure, ethical data practices.

• Ethics
• Data governance
• Data security
• Best practice for compliance
• Services & tools to enhance data management
• Data privacy
• Responsible governance & use of data

This theme puts the spotlight on databases, data platforms, and the emerging architectural trends of data mesh, fabric, lakes, and warehouses.

We will also uncover the role of edge computing in decentralising data processing, offering a fresh perspective on the evolving landscapes of data engineering and architecture.

Discuss with the experts to find out which approach you should take.

• Cover databases
• Data platforms
• Data mesh
• Data fabric
• Supporting data management

Discussions will delve into the evolving nature of jobs in the face of AI and automation, debating whether they replace or create new career paths.

Delegates will consider strategies for talent attraction, development, and retention amidst these changes, with particular attention on the need for reskilling and upskilling for the AI era.

• People strategies
• Diversity
• Workforce change
• Enterprise culture